Department of Statistics | University of California, Riverside | ASA | IMS

research interest

Mixture models

Longitudinal data analysis

Robust estimation

Variable selection

High dimensional modeling

Nonparametric and semiparametric modeling

Dimension reduction

links

Weixin Yao, Ph.D. (CV)

Associate Professor
Department of Statistics
1337 Olmsted Hall
University of California, Riverside
Riverside, CA 92521
Phone: (951)827-6007
Email: weixin.yao@ucr.edu

I received my Ph.D. in 2007 from the Department of Statistics, The Pennsylvania State University, under the supervision of Dr. Bruce G. Lindsay and Dr. Runze Li.

Research Interest

Mixture models; Nonparametric and semiparametric modeling; Longitudinal data analysis; Robust estimation; High dimensional modeling; Variable selection; Dimension reduction.

Selected Referred Publications(Full List)

Kurum, E., Li, R., Shiffman, S., and Yao, W. (2016). Time-Varying Coefficient Models for Joint Modeling Binary and Continuous Outcomes in Longitudinal Data. Statistica Sinica, 26, 979-1000.
Yao, W. and Li, L. (2014). A New Regression Model: Modal Linear Regression. Scandinavian Journal of Statistics, 41, 656-671.
Huang, M., Li, R., and Huang, H., and Yao, W. (2014). Estimating Mixture of Gaussian Processes by Kernel Smoothing. Journal of Business and Economics Statistics, 32, 259-270.
Yao, W. and Li, R. (2013). New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal Data. Journal of the Royal Statistical Society, Ser B., 75, 123-138
Huang, M. and Yao, W. (2012). Mixture of Regression Models with Varying Mixing Proportions: A Semiparametric Approach. Journal of American Statistical Association107, 711-724.
Yao, W., Lindsay, B. G., and Li, R. (2012). Local modal regression. Journal of Nonparametric Statistics, 24, 647-663. The winner of The Journal of Nonparametric Statistics Best Paper Award in 2015.
Yao, W. (2012). Model Based Labeling for Mixture Models. Statistics and Computing, 22, 337-347.
Wang, Q. and Yao, W. (2012). An Adaptive Estimation of MAVE. Journal of Multivariate Data Analysis, 104, 88-100.
Cao, J. and Yao, W. (2012). Semiparametric Mixture of Binomial Regression with a Degenerate Component. Statistica Sinica, 22, 27-46.
Yao, W. (2010). A Profile Likelihood Method for Normal Mixture with Unequal Variance. Journal of Statistical Planning and Inference, 140, 2089-2098. Matlab code.
Yao, W. and Lindsay, B. G. (2009). Bayesian Mixture Labeling by Highest Posterior Density. Journal of American Statistical Association, 104, 758-767. Matlab code.